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Applied Multivariate Data Analysis [electronic resource]

Dunn, Graham; Everitt,Brian S; Knovel, Academic, General Engineering & Project Administration; Wiley Online Library UBCM All Obooks
Format
EBook; Book; Online
Published
Wiley [Imprint] Jan. 1900 Hoboken : John Wiley & Sons, Incorporated
Edition
2nd ed
Language
English
ISBN
9780470711170, 0470711175 (Trade Paper)
Target Audience
Trade
Summary
Annotation
Description
Mode of access: World wide Web.
Copyright Not EvaluatedCopyright Not Evaluated
Technical Details
  • Access in Virgo Classic
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    a| Applied Multivariate Data Analysis h| [electronic resource]
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    a| 2nd ed.
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    a| Annotation b| Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediatelevel textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, Applied Multivariate Data Analysis has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easygoing style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, Applied Multivariate Data Analysis is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.
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    a| Everitt,Brian S. e| Author
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